Literature DB >> 24591997

Determination of serum CRP, VEGF, Leptin, CK-MB, CA-15-3 and IL-6 levels for malignancy prediction in adnexal masses.

Serhat Sen1, Oğuzhan Kuru1, Ozgür Akbayır2, Hilal Oğuz3, Vildan Yasasever3, Sinan Berkman1.   

Abstract

OBJECTIVE: Investigation of serum markers which could be used in the malignancy prediction of adnexal masses.
MATERIAL AND METHODS: Vascular endothelial growth factor (VEGF), interleukin 6 (IL-6), leptin, C-reactive protein (CRP), creatine-kinase-MB (CK-MB) and cancer antigen 15-3 (CA 15-3) levels were determined prospectively in serum samples that were obtained from patients who underwent surgery for an adnexal mass and who were referred to Istanbul University, Faculty of Medicine, Department of Obstetrics and Gynecology, between 2009 and 2011, and then were compared with the serum samples of completely healthy outpatient patients as a control group. Based onto the ovarian cancer status, cases were divided into four groups: 13 patients were included in the early-stage malignant group, 12 patients were included in the advanced-stage malignant group, 25 in the benign group and 19 in the healthy control group. Patients with only epithelial ovarian cancer were included into the cancer group. Ethics Commitee approval was obtained for this study. The budget was supported by the Istanbul University Scientific Research Projects Unit.
RESULTS: RESULTS RELATED WITH SENSITIVITY, SPECIFICITY, POSITIVE PREDICTIVE VALUE (PPV), NEGATIVE PREDICTIVE VALUE (NPV) AND ODDS RATIO (OR), RESPECTIVELY, AND THE FOLLOWING VALUES WERE CALCULATED: 48%, 95%, 92%, 59% and +OR 9.6 -OR 0.5 for CA; 15-3; 52%, 75%, 72%, 55%, +OR 2.08 -OR 0.64 for leptin; 72%, 70%, 75%, 66% 2.4-0.5 for IL-6; 24%, 80%, 60%, 45%, 1.2-0.92 for VEGF; 68%, 30%, 55%, 43%, 0.97-1.06 for CRP; and 8%, 70%, 25%, 38%, 026-1.31 for CK-MB.
CONCLUSION: CA 15-3, IL-6, Leptin, VEGF and CRP were effective in the prediction of benign and malignant masses; however they may be more suitable in selected cases as they have a limited use because of their inadequate potential regarding sensitivity and specificity.

Entities:  

Keywords:  Adnexal masses; epithelial ovarian cancer; malignancy prediction; serum biomarkers

Year:  2011        PMID: 24591997      PMCID: PMC3939252          DOI: 10.5152/jtgga.2011.54

Source DB:  PubMed          Journal:  J Turk Ger Gynecol Assoc        ISSN: 1309-0380


  23 in total

Review 1.  Cancer of the ovary.

Authors:  S A Cannistra
Journal:  N Engl J Med       Date:  1993-11-18       Impact factor: 91.245

2.  Multiplexed immunobead-based cytokine profiling for early detection of ovarian cancer.

Authors:  Elieser Gorelik; Douglas P Landsittel; Adele M Marrangoni; Francesmary Modugno; Lyudmila Velikokhatnaya; Matthew T Winans; William L Bigbee; Ronald B Herberman; Anna E Lokshin
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-04       Impact factor: 4.254

3.  A comparison of methods for preoperative discrimination between malignant and benign adnexal masses: the development of a new logistic regression model.

Authors:  D Timmerman; T H Bourne; A Tailor; W P Collins; H Verrelst; K Vandenberghe; I Vergote
Journal:  Am J Obstet Gynecol       Date:  1999-07       Impact factor: 8.661

4.  Cancer biology. All in the stroma: cancer's Cosa Nostra.

Authors:  Jean Marx
Journal:  Science       Date:  2008-04-04       Impact factor: 47.728

5.  Combining multiple serum tumor markers improves detection of stage I epithelial ovarian cancer.

Authors:  Zhen Zhang; Yinhua Yu; Fengji Xu; Andrew Berchuck; Carolien van Haaften-Day; Laura J Havrilesky; Henk W A de Bruijn; Ate G J van der Zee; Robert P Woolas; Ian J Jacobs; Steven Skates; Daniel W Chan; Robert C Bast
Journal:  Gynecol Oncol       Date:  2007-10-24       Impact factor: 5.482

6.  Multianalyte profiling of serum antigens and autoimmune and infectious disease molecules to identify biomarkers dysregulated in epithelial ovarian cancer.

Authors:  Greg P Bertenshaw; Ping Yip; Partha Seshaiah; Jinghua Zhao; Tzong-Hao Chen; Wesley S Wiggins; James P Mapes; Brian C Mansfield
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-10       Impact factor: 4.254

7.  Ovarian cancer in the elderly: an analysis of Surveillance, Epidemiology, and End Results Program data.

Authors:  R Yancik; L G Ries; J W Yates
Journal:  Am J Obstet Gynecol       Date:  1986-03       Impact factor: 8.661

Review 8.  Early detection of ovarian cancer.

Authors:  M G Teneriello; R C Park
Journal:  CA Cancer J Clin       Date:  1995 Mar-Apr       Impact factor: 508.702

Review 9.  Progress and challenges in screening for early detection of ovarian cancer.

Authors:  Ian J Jacobs; Usha Menon
Journal:  Mol Cell Proteomics       Date:  2004-02-05       Impact factor: 5.911

10.  Surveillance of women at high risk for hereditary ovarian cancer is inefficient.

Authors:  A L Oei; L F Massuger; J Bulten; M J Ligtenberg; N Hoogerbrugge; J A de Hullu
Journal:  Br J Cancer       Date:  2006-03-27       Impact factor: 7.640

View more
  3 in total

Review 1.  Gynaecological cancers and leptin: A focus on the endometrium and ovary.

Authors:  A Ray; J Fornsaglio; S Dogan; S Hedau; D Naik; A De
Journal:  Facts Views Vis Obgyn       Date:  2018-03

2.  The impact of different preanalytical methods related to CA 15-3 determination in frozen human blood samples: a systematic review.

Authors:  Luigi Coppola; Alessandra Cianflone; Katia Pane; Monica Franzese; Peppino Mirabelli; Marco Salvatore
Journal:  Syst Rev       Date:  2021-04-09

3.  Elevated Interleukin-6 Levels in the Circulation and Peritoneal Fluid of Patients with Ovarian Cancer as a Potential Diagnostic Biomarker: A Systematic Review and Meta-Analysis.

Authors:  Hina Amer; Apriliana E R Kartikasari; Magdalena Plebanski
Journal:  J Pers Med       Date:  2021-12-09
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.